Advancing sdn from openflow to p4: A survey

A Liatifis, P Sarigiannidis, V Argyriou… - ACM Computing …, 2023 - dl.acm.org
Software-defined Networking (SDN) marked the beginning of a new era in the field of
networking by decoupling the control and forwarding processes through the OpenFlow …

Network slicing for 5G: Challenges and opportunities

X Li, M Samaka, HA Chan, D Bhamare… - IEEE Internet …, 2017 - ieeexplore.ieee.org
Network slicing for 5G provides Network-as-a-Service (NaaS) for different use cases,
allowing network operators to build multiple virtual networks on a shared infrastructure. With …

A survey on network simulators, emulators, and testbeds used for research and education

J Gomez, EF Kfoury, J Crichigno, G Srivastava - Computer Networks, 2023 - Elsevier
Network operators and researchers constantly search for platforms to evaluate future
deployments and test new research ideas. When experimenting, they usually face …

Cloud-native network slicing using software defined networking based multi-access edge computing: A survey

SDA Shah, MA Gregory, S Li - IEEE Access, 2021 - ieeexplore.ieee.org
Fifth-Generation (5G) mobile cellular networks provide a promising platform for new,
innovative and diverse IoT applications, such as ultra-reliable and low latency …

A review on Virtualized Infrastructure Managers with management and orchestration features in NFV architecture

K Kaur, V Mangat, K Kumar - Computer Networks, 2022 - Elsevier
Abstract Nowadays, Network Function Virtualization (NFV) is a growing and powerful
technology in the research community and IT world. Traditional computer networks consist of …

Search: A collaborative and intelligent nids architecture for sdn-based cloud iot networks

TG Nguyen, TV Phan, BT Nguyen, C So-In… - IEEE …, 2019 - ieeexplore.ieee.org
The explosive rise of intelligent devices with ubiquitous connectivity have dramatically
increased Internet of Things (IoT) traffic in the cloud environment and created potential …

Refining network intents for self-driving networks

AS Jacobs, RJ Pfitscher, RA Ferreira… - Proceedings of the …, 2018 - dl.acm.org
Recent advances in artificial intelligence (AI) offer an opportunity for the adoption of self-
driving networks. However, network operators or home-network users still do not have the …

Dynamic on-demand fog formation offering on-the-fly IoT service deployment

H Sami, A Mourad - IEEE Transactions on Network and Service …, 2020 - ieeexplore.ieee.org
With the increasing number of IoT devices, fog computing has emerged, providing
processing resources at the edge for the tremendous amount of sensed data and IoT …

Network environment design for autonomous cyberdefense

A Molina-Markham, C Miniter, B Powell… - arxiv preprint arxiv …, 2021 - arxiv.org
Reinforcement learning (RL) has been demonstrated suitable to develop agents that play
complex games with human-level performance. However, it is not understood how to …

DIGFuPAS: Deceive IDS with GAN and function-preserving on adversarial samples in SDN-enabled networks

PT Duy, NH Khoa, AGT Nguyen, VH Pham - Computers & Security, 2021 - Elsevier
Showing a great potential in various domains, machine learning techniques are more and
more used in the task of malicious network traffic detection to significantly enhance the …